Cargando…
Exploring candidate biological functions by Boolean Function Networks for Saccharomyces cerevisiae
The great amount of gene expression data has brought a big challenge for the discovery of Gene Regulatory Network (GRN). For network reconstruction and the investigation of regulatory relations, it is desirable to ensure directness of links between genes on a map, infer their directionality and expl...
Autores principales: | Simak, Maria, Yeang, Chen-Hsiang, Lu, Henry Horng-Shing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628832/ https://www.ncbi.nlm.nih.gov/pubmed/28981547 http://dx.doi.org/10.1371/journal.pone.0185475 |
Ejemplares similares
-
Correction: Exploring candidate biological functions by Boolean Function Networks for Saccharomyces cerevisiae
por: Simak, Maria, et al.
Publicado: (2019) -
Inference of Biological Pathway from Gene Expression Profiles by Time Delay Boolean Networks
por: Chueh, Tung-Hung, et al.
Publicado: (2012) -
Evolution of Domain Architectures and Catalytic Functions of Enzymes in Metabolic Systems
por: Suen, Summit, et al.
Publicado: (2012) -
Production and biological function of volatile esters in Saccharomyces cerevisiae
por: Saerens, Sofie M. G., et al.
Publicado: (2010) -
Exploring attractor bifurcations in Boolean networks
por: Beneš, Nikola, et al.
Publicado: (2022)